code: def __loop_helper(self, agg_key):
      # TODO: Add documentation
      for (
          dataset_key,
          metric_results,
      ) in self.last_evaluation_results.items():
          if metric_results is not None:
              for metric_key, metric_value in metric_results.items():
                  if agg_key == "{}_{}".format(dataset_key, metric_key):
                      return metric_value
      return None
  
imports: from hyperparameter_hunter.callbacks.bases import BaseAggregatorCallback
  from datetime import datetime
  import numpy
label_desc: Use image node_id 5 for calling the AggregatorEvaluations obj's underlying member method code with example usage: obj.__loop_helper(agg_key) and returns: None, metric_value